[AISWorld] Call for Papers: 1st Workshop on the Role of Real-world objects in Business Process Management Systems

[Jan Mendling]

==========================

Real-world objects in Business Process Management Systems (RW-BPMS 2015)

- 1st Workshop in conjunction with CAiSE 2015, 8-12 June 2015, Stockholm,
Sweden -

 

Submission deadline: 2015, February the 13th

==========================

 

The increased availability of sensors disseminated in the world has lead to
the possibility to monitor in detail the evolution of several real-world
objects of interest. GPS receivers, RFID chips, transponders, detectors,
cameras, satellites, etc. concur in the depiction of the current status of
monitored things. Therefore, the opportunity arose to connect physical
reality to digital information. The screening of real-world objects makes
indeed sensors the interface towards real-world information, as they are the
originators of machine-readable events. The exploitation of such knowledge
is leading to successful applications such as Smart Cities, Flight
Monitoring, Pollution Control, Internet of Things, and Dynamic Manufacturing
Networks.  

 

The amount of information at hand would consent a fine-grained monitoring,
mining, and decision support for business processes, stemming from the joint
observation of business-related objects in the real world. However, the main
focus of process and data analysis in Business Process Management (BPM)
still lies at a high level of abstraction, such as activities' status, and
is based on digital-to-digital information, such as information systems'
data- and activity-centric logs. Furthermore, a limited investigation from
the BPM community has been evinced towards the physical-to-digital bridge so
far. Such a bridge would be naturally provided by rethought information
systems, where the knowledge extracted from real-world objects would best
depict the contingencies and the context in which business processes are
carried out. At the same time, awareness of physical reality for undertaken
actions would allow for a better control over the interaction that the
Business Process Management Systems (BPMSs) have with the real world.

 

The objective of the RW-BPMS workshop is therefore to attract novel research
and industry approaches investigating the connection of business processes
with real-world objects monitoring. Conceptual, technical and
application-oriented contributions are pursued within the scope of this
theme.

 

==========================

Topics of Interest

==========================

 

Relevant topics include, but are not limited to:

(1) Real-world objects in decision making, support and process mining

- Execution/deployment challenges for BPs that include sensors

- Using real-world objects monitoring for business process execution and
control

- Integration of data from real-world objects in BPM applications

- Process control based on real-world objects

- Mixed physical-digital events correlation and aggregation

- Mining mixed physical-digital events

- Continuous mining of real-world events for running processes

- Case identification from sensor data

- Event log extraction from sensor data

(2) Real-world objects in business process modeling

- Modeling challenges to combine static information of business process
execution and continuously updated information of real-world objects

- Support for decision making based on sensor data for the business process
execution

- Requirement analysis for integrating real-world objects monitoring with
business process monitoring

- Opportunities of modeling sensor data in business process models

- Inclusion of real-world information for the visualization of current
process status

- Novel visual representations for mixed physical-digital evolution of
processes

- Modeling flexibility for business process management involving real-world
object interactions

- Real-world objects status compliance to the business model

- Compliance of the business model to the status evolution of real-world
objects

- Defining constraints on real-world objects in business process modeling

(3) Process adaptivity and prediction based on real-world objects

- Opportunities of mining sensor data to model business processes

- Opportunities of mining sensor data to control the execution of business
processes

- Monitoring real-world objects to predict business process execution (e.g.
duration of tasks)

- Mixed physical-digital data aggregation in event analysis

- Real-world-event driven process adaptation

- Studies on the effects of process enactments on the real world

(4) General view on real-world objects in BPMS

- Empirical research on the integration of real-world objects in BPMS

- Case studies on the integration of real-world objects in BPMS

- Best practice for the integration of real-world objects in BPMS

- Vision papers on the integration of real-world objects in BPMS

 

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Submission Guidelines

========================== 

 

Prospective authors are invited to submit papers on any of the topics of the
workshop. Papers must be written in English as full research paper (max. 12
pages) or short paper (position paper, work in progress, software
demonstration; max. 6 pages). Papers must contain original contributions
that have not been published previously, nor already submitted to other
conferences or journals in parallel with this workshop. Each submission is
reviewed by at least three experts in this field.

 

Submitted papers must follow the Lecture Notes in Business Information
Processing (LNBIP) guidelines. Papers should be submitted electronically as
a self-contained PDF file using the EasyChair submission site
(https://easychair.org/conferences/?conf=rwbpms2015) by the deadlines
indicated below. Accepted papers will be published in the CAiSE 2015
Workshop Proceedings, in a Springer LNBIP volume. At least one author of an
accepted paper should register for the workshop and present the paper.

 

==========================

Important Dates

========================== 

 

Submission:             13th February 2015

Notification:           13th March 2015

Camera-ready version:   20th March 2015

 

==========================

Workshop-Chairs

========================== 

 

Claudio Di Ciccio (Vienna University of Economics and Business, Austria)

Anne Baumgraß (Hasso Plattner Institute at the University of Potsdam,
Germany)

Remco Dijkman (Eindhoven University of Technology, The Netherlands)

 

 

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Program Committee

========================== 

 

Marco Aiello, University of Groningen, The Netherlands

Antonio Bucchiarone, Fondazione Bruno Kessler, Italy

Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands

Gero Decker, Signavio GmbH, Germany

Naranker Dulay, Imperial College London, United Kingdom

Schahram Dustdar, Vienna University of Technology, Austria

Selim Erol, Technische Universität Wien, Austria

Dirk Fahland, Technical University of Eindhoven, The Netherlands

Bogdan Franczyk, University of Leipzig, Germany

Avigdor Gal, Technion - Israel Institute of Technology, Israel

Paul Grefen, Eindhoven University of Technology, The Netherlands

Wout Hofman, TNO, The Netherlands

Bernhard Holtkamp, Fraunhofer, Germany

Christian Janiesch, Karlsruhe Institute of Technology, Germany

Stefan Krumnow, Signavio GmbH, Germany

Andre Ludwig, University of Leipzig, Germany

Fabrizio Maria Maggi, University of Tartu, Estonia

Andrea Marrella, Sapienza University of Rome, Italy

Massimo Mecella, Sapienza University of Rome, Italy

Jan Mendling, Vienna University of Economics and Business, Austria

Marco Montali, Free University of Bozen-Bolzano, Italy

Felix Naumann, Hasso Plattner Institute at the University of Potsdam,
Germany

Frank Puhlmann, Bosch Software Innovations GmbH, Germany

Stefan Schulte, Vienna University of Technology, Austria

Pnina Soffer, University of Haifa, Israel

Mark Strembeck, Vienna University of Economics and Business, Austria

Hagen Völzer, IBM Zürich, Switzerland

Barbara Weber, University of Innsbruck, Austria

Matthias Weidlich, Imperial College London, United Kingdom

Mathias Weske, Hasso Plattner Institute at the University of Potsdam,
Germany

Josiane Xavier Parreira, Siemens AG, Austria

 

 

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